start_implementation_branch
Start a bounded implementation branch in an isolated git worktree.
This record as markdown: /tools/mcp-control-plane/start-implementation-branch.md
What start_implementation_branch does on Mcp Control Plane
AI agents invoke start_implementation_branch to trigger actions in Mcp Control Plane. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why start_implementation_branch is rated High
Creating a git worktree and branch is an Execute-category action because it runs external git commands that trigger state changes in a version control system. While not immediately destructive or financial, the high severity is justified because: (1) in a control plane context, git branches often trigger CI/CD pipelines or agent automation; (2) 'bounded implementation' suggests the branch is tied to autonomous agent…
From the tool's definition Tool description: 'Start a bounded implementation branch in an isolated git worktree' — this initiates git operations that create worktrees and branches, which execute version control system commands.
Attacks that exploit this kind of access
The rule that runs start_implementation_branch safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Control Plane, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For start_implementation_branch, this is the rule to start with:
start_implementation_branch stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Control Plane, apply this rule, and every start_implementation_branch call is checked against it from then on.
Questions about start_implementation_branch
Start a bounded implementation branch in an isolated git worktree. It is categorised as a Execute tool in the Mcp Control Plane MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Control Plane MCP server in PolicyLayer and add a rule for start_implementation_branch: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Control Plane. Nothing to install.
start_implementation_branch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the start_implementation_branch rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for start_implementation_branch. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
start_implementation_branch is provided by the Mcp Control Plane MCP server (albertik322-sudo/mcp-control-plane). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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